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AI agents

For leadership teams putting AI agents to work, and getting ready for buyers and customers who already use AI to find and compare them. Guides, case studies and aibl research on where agents pay back, what they cost and who keeps them in check.

What sales automation looks like when it really works

What sales automation looks like when it really works

Last week we wrote about agents that succeed by integrating with tools teams already use. This week, a mid-market...

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AI in Practice – What 12 months of AI agents taught organisations

AI in Practice – What 12 months of AI agents taught organisations

We’ve recently been speaking to organisations about what worked with AI agents over the last 12 months. See...

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AI in Practice – Automating the First Layer of Customer Contact

AI in Practice – Automating the First Layer of Customer Contact

A UK specialist eye clinic cut reception workload by over 70% and reduced no-shows by 35% by automating the first...

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Why Your Agents Keep Losing Context (And How to Fix It)

Why Your Agents Keep Losing Context (And How to Fix It)

A mid-market marketing agency built a single agent to research target companies for outbound campaigns. On its...

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Treat Agents Like Headcount, Not Software

Treat Agents Like Headcount, Not Software

For the research behind this, see aibl's UK data on AI ROI in...

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Why Your Agent Costs More Than You Think (And How to Fix It)

Why Your Agent Costs More Than You Think (And How to Fix It)

A 500 employee SaaS company built an agent to handle refund requests and in the demo, it looked great checking...

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Walk Into Every Sales Call Knowing the Prospect

Walk Into Every Sales Call Knowing the Prospect

As few as two or three of these sources per account gave a clearer picture of what each business was trying to...

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If AI Can Only Automate Tasks 3% of the Time, What’s the Point?

If AI Can Only Automate Tasks 3% of the Time, What’s the Point?

PLUS: The UK’s micro-productivity crisis, how to claw back the time and producing great lead magnets...

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